Context Window
AnthropicClaude HaikufastTool use

Databricks Claude Haiku 4 5

200K context·~150K words·64K max output
View context detailsCompare with Claude Instant
Context window200Ktokens
Max output64Ktokens

Context window

This model accepts 200K tokens in one request (~150K words of text).

Context window size200K tokens
4K32K128K1M10M

What fits in one request

  • Short document
    About 1,500 words of text
    Fits
  • Long document
    About 37K words of text
    Fits
  • Small codebase
    About 150K words of text
    Fits
  • Full novel
    About 375K words of text
    Won't fit

Specifications

Context size, pricing, and release info in one place.

Context window
200,000 tokens (200K)
Max output tokens
64,000 tokens (64K)
Speed tier
fast
Provider
Anthropic
Model family
Claude Haiku
Input cost
$1.00/M / 1M tokens
Output cost
$5.00/M / 1M tokens

Capabilities

See which features this model supports, such as vision, tools, and streaming.

Supported (5)
Tool use
Supported
Function calling
Supported
Extended thinking
Supported
Streaming
Supported
Batch API
Supported
Not supported (3)
Vision
Not supported
Web search
Not supported
Prompt caching
Not supported

Best for

Jump to a guide or ranking that matches each workload.

ReasoningAI agentsLong documentsRAGChatbots

Compare Databricks Claude Haiku 4 5

Open a side-by-side comparison with one click.

Frequently asked questions

Short answers about context size and how this model behaves.

Databricks Claude Haiku 4 5 has a context window of 200K tokens (200,000 tokens). This large window is well-suited for long document analysis, extensive codebases, and multi-session agent workflows.

More from Anthropic

Other models by Anthropic in our catalog.

Apac Anthropic Claude Sonnet 4 20250514
Claude Sonnet
1Mbalanced
Claude Mythos Preview
1Mbalanced
Claude Opus 4 6
Claude Opus
1Mdeep
Claude Opus 4 6 Default
Claude Opus
1Mdeep
Claude Opus 4.6 (Fast)
Claude Opus
1Mdeep
Claude Opus 4.7
Claude Opus
1Mdeep

Powered by Mem0

Use a smaller model.
Get better results.

Mem0 gives your AI long-term memory so you stop re-sending context on every call. That means you can use a smaller, faster, cheaper model — and still get better answers.

Calculate your savingsLearn about Mem0

Example: a multi-turn chat session

Without Mem0~128K tokens sent
Full history
Repeated info
Old context
With Mem0~20K tokens sent
Key memories
Current turn

80% less to send — works with any model